How critical is random reading of training data when assembling batches?
Put another way: in my experience, supporting fast random reads is a challenging problem, while supporting high sequential reads is fairly straightforward. When is random access to a training set absolutely necessary for training a model?
Put another way: in my experience, supporting fast random reads is a challenging problem, while supporting high sequential reads is fairly straightforward. When is random access to a training set absolutely necessary for training a model?